Semi-CNN architecture for effective spatio-temporal learning in action recognition

• المؤلفون الرئيسيون: Leong, Mei Chee, Prasad, Dilip K., Lee, Yong Tsui, Lin, Feng
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering::Mechanical engineering; Action Recognition; Spatio-temporal Features
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146192

This paper introduces a fusion convolutional architecture for efficient learning of spatio-temporal features in video action recognition. Unlike 2D convolutional neural networks (CNNs), 3D CNNs can be applied directly on consecutive frames to extract spatio-temporal features. The aim of this work is...